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Differentiate between AI, analytics, and big data
Assessment Strategies
Written Product, Case Study Response, and/or Project
Criteria
Distinguish the difference between narrow and general AI
Contrast subsets of AI, including machine learning, natural language processing, and generative AI
Describe the ethical issues pertaining to analytics, such as privacy, transparency, and bias
Examine the uses of big data in medicine, criminal justice, education, and other cases of predictive analytics
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Describe the use and impact of algorithms in human decision making
Assessment Strategies
Written Product, Case Study Response, and/or Project
Criteria
Articulate the machine learning loop that occurs in predictive algorithms
Describe the role bias may play in the design of algorithms
Describe the systemic impact of algorithms and their influence on individual autonomy
Determine when and how one should exercise caution when using these tools
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Apply moral reasoning and ethical concepts
Assessment Strategies
Written Product, Case Study Response, and/or Project
Criteria
Describe the morally relevant factors
Assess which ethical theory provides the best guidance and explanatory value in AI
Assess the risks of predictive algorithms on human autonomy
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Describe technical concepts, such as bias and fairness metrics
Assessment Strategies
Written Product, Case Study Response, and/or Project
Criteria
Explore a variety of fairness metrics, such as independence, predictive parity, and error rate balance
Compare the benefits and risks of each fairness metric
Assess how bias and values inform inductive risk
Investigate how base rate variance in datasets leads to certain trade-offs
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Evaluate the impact automation has on society and the meaning of life
Assessment Strategies
Written Product, Case Study Response, and/or Project
Criteria
Rationalize the use of automation in varying fields
Question how AI might sever the link between agent and creative output
Determine when human intervention and regulation is needed in an automated society
Describe AI’s disruptive and productive role in society
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Assess arguments, exposing assumptions and responding to objections
Assessment Strategies
Written Product, Case Study Response, and/or Project
Criteria
Clarify terms in an argument and determine what kind of argument it is
Find the conclusion and its supporting premises
Formalize the argument
Determine if the logic or truth condition is satisfied
Recognize if the argument is based on unstated assumptions
Describe the role of unstated assumptions
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Correlate philosophical questions with contemporary culture and your own lives
Assessment Strategies
Written Product and/or Project
Criteria
Describe how philosophical questions and moral issues are reflected in media and culture
Apply ethical theories and their guiding principles
Ethical topic is effectively presented to a large non-academic audience
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Think critically about arguments made by others with interpretative charity and intellectual humility
Assessment Strategies
Written Product and/or Presentation
Criteria
Avoid fallacies such as straw man, begging the question, ad hominem, hasty generalizations, and appeal to authority
Practice charity in assessing opposing arguments
Formulate objections or critical questions to an argument
Predict how others will respond to your argument and respond to objections
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Write an argumentative paper
Assessment Strategies
Paper
Criteria
Integrate a citation style, such as MLA, APA, or Chicago
Reconstruct the main arguments or claims
Explain the reasoning behind each premise of the argument
Create one objection to one of its premises
Anticipate possible objections
Evaluate possible objections
Paper is no more than 1200 words
Integrate a citation style, such as MLA, APA, or Chicago
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Cultivate a critique strategy
Assessment Strategies
Written and/or Verbal Critique
Criteria
Demonstrate active listening
Use industry-accepted AI terminology
Verbal and/or written feedback is interpreted by others effectively
Make decisions about others’ work
Responses to critiques follow guidelines specified by the instructor
Revisions are implemented, adapted, or other